Speed control of 3-phase asynchronous motor using artificial neural network

Speed control of an alternating current (AC) motor has been one of the difficult control problems. Many approaches have been proposed to solve these problems. In this paper, a speed control method is proposed using artificial neural network (ANN) with an online self-learning algorithm to compensate uncertain parameters in the dynamics model of AC motor. The global asymptotic stability of the control system is proved using Lyapunov stability method. Simulation results on MATLAB show the reliability and accuracy of the proposed method.